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<a href="https://github.com/GrowingGit/GitHub-Chinese-Top-Charts#github中文排行榜">返回目录</a> • <a href="/content/docs/feedback.md">问题反馈</a>
# 中文增速榜 > 资料类 > Python
<sub>数据更新: 2022-01-03&nbsp;&nbsp;&nbsp;/&nbsp;&nbsp;&nbsp;温馨提示：中文项目泛指「文档母语为中文」OR「含有中文翻译」的项目，通常在项目的「readme/wiki/官网」可以找到</sub>
<sub>数据更新: 2022-01-04&nbsp;&nbsp;&nbsp;/&nbsp;&nbsp;&nbsp;温馨提示：中文项目泛指「文档母语为中文」OR「含有中文翻译」的项目，通常在项目的「readme/wiki/官网」可以找到</sub>
|#|Repository|Description|Stars|Average daily growth|Updated|
|:-|:-|:-|:-|:-|:-|
|1|[donnemartin/system-design-primer](https://github.com/donnemartin/system-design-primer)|Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.|157018|89|2021-12-30|
|2|[jackfrued/Python-100-Days](https://github.com/jackfrued/Python-100-Days)|Python - 100天从新手到大师|113590|81|2021-12-28|
|3|[xinntao/Real-ESRGAN](https://github.com/xinntao/Real-ESRGAN)|Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.|8332|50|2022-01-02|
|4|[0voice/interview_internal_reference](https://github.com/0voice/interview_internal_reference)|2021年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。|33112|35|2021-08-25|
|5|[521xueweihan/HelloGitHub](https://github.com/521xueweihan/HelloGitHub)|:octocat: 分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.|50569|24|2021-12-28|
|6|[apachecn/AiLearning](https://github.com/apachecn/AiLearning)|AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP|32461|18|2021-09-07|
|7|[d2l-ai/d2l-zh](https://github.com/d2l-ai/d2l-zh)|《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。|29423|18|2022-01-01|
|8|[satwikkansal/wtfpython](https://github.com/satwikkansal/wtfpython)|What the f*ck Python? 😱|27824|18|2021-12-23|
|9|[wangzheng0822/algo](https://github.com/wangzheng0822/algo)|数据结构和算法必知必会的50个代码实现|20179|17|2021-11-15|
|10|[microsoft/qlib](https://github.com/microsoft/qlib)|Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you c ...|7743|15|2022-01-02|
|11|[sebastianruder/NLP-progress](https://github.com/sebastianruder/NLP-progress)|Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.|19557|15|2021-12-07|
|12|[xmu-xiaoma666/External-Attention-pytorch](https://github.com/xmu-xiaoma666/External-Attention-pytorch)|🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐|2977|12|2021-12-19|
|1|[donnemartin/system-design-primer](https://github.com/donnemartin/system-design-primer)|Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.|157135|89|2021-12-30|
|2|[jackfrued/Python-100-Days](https://github.com/jackfrued/Python-100-Days)|Python - 100天从新手到大师|113599|81|2021-12-28|
|3|[xinntao/Real-ESRGAN](https://github.com/xinntao/Real-ESRGAN)|Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.|8374|50|2022-01-02|
|4|[0voice/interview_internal_reference](https://github.com/0voice/interview_internal_reference)|2021年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。|33116|35|2021-08-25|
|5|[521xueweihan/HelloGitHub](https://github.com/521xueweihan/HelloGitHub)|:octocat: 分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.|50591|24|2021-12-28|
|6|[apachecn/AiLearning](https://github.com/apachecn/AiLearning)|AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP|32471|18|2022-01-03|
|7|[d2l-ai/d2l-zh](https://github.com/d2l-ai/d2l-zh)|《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。|29441|18|2022-01-03|
|8|[satwikkansal/wtfpython](https://github.com/satwikkansal/wtfpython)|What the f*ck Python? 😱|27828|18|2021-12-23|
|9|[wangzheng0822/algo](https://github.com/wangzheng0822/algo)|数据结构和算法必知必会的50个代码实现|20184|17|2021-11-15|
|10|[microsoft/qlib](https://github.com/microsoft/qlib)|Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you c ...|7749|15|2022-01-03|
|11|[sebastianruder/NLP-progress](https://github.com/sebastianruder/NLP-progress)|Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.|19561|15|2021-12-07|
|12|[xmu-xiaoma666/External-Attention-pytorch](https://github.com/xmu-xiaoma666/External-Attention-pytorch)|🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐|2982|12|2021-12-19|
|13|[HeisenbergEmpire/studynote](https://github.com/HeisenbergEmpire/studynote)|程式與網絡安全學習筆記|458|11|2021-12-28|
|14|[kwai/DouZero](https://github.com/kwai/DouZero)|[ICML 2021] DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning 斗地主AI|2305|11|2021-12-22|
|15|[kangvcar/InfoSpider](https://github.com/kangvcar/InfoSpider)|INFO-SPIDER 是一个集众多数据源于一身的爬虫工具箱🧰，旨在安全快捷的帮助用户拿回自己的数据，工具代码开源，流程透明。支持数据源包括GitHub、QQ邮箱、网易邮箱、阿里邮箱、新浪邮箱、Hotmail邮箱、Outlook邮箱、京东、淘宝、支付宝、中国移动、中国联通、中国电信、知乎、哔哩哔哩、网易云音乐、QQ好友、QQ群、生成朋友圈相册、浏览器浏览历史、12306、博客园、CSDN博客、开源 ...|6005|11|2021-12-13|
|16|[keon/algorithms](https://github.com/keon/algorithms)|Minimal examples of data structures and algorithms in Python|20169|11|2021-12-19|
|17|[TechXueXi/TechXueXi](https://github.com/TechXueXi/TechXueXi)|强国通 科技强国 学习强国 xuexiqiangguo 全网最好用开源网页学习强国助手：TechXueXi （懒人刷分工具 自动学习）技术强国，支持答题，支持 docker 45分/天|1958|11|2021-12-21|
|18|[d2l-ai/d2l-en](https://github.com/d2l-ai/d2l-en)|Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.|12020|10|2021-12-28|
|14|[kwai/DouZero](https://github.com/kwai/DouZero)|[ICML 2021] DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning 斗地主AI|2306|11|2021-12-22|
|15|[kangvcar/InfoSpider](https://github.com/kangvcar/InfoSpider)|INFO-SPIDER 是一个集众多数据源于一身的爬虫工具箱🧰，旨在安全快捷的帮助用户拿回自己的数据，工具代码开源，流程透明。支持数据源包括GitHub、QQ邮箱、网易邮箱、阿里邮箱、新浪邮箱、Hotmail邮箱、Outlook邮箱、京东、淘宝、支付宝、中国移动、中国联通、中国电信、知乎、哔哩哔哩、网易云音乐、QQ好友、QQ群、生成朋友圈相册、浏览器浏览历史、12306、博客园、CSDN博客、开源 ...|6006|11|2021-12-13|
|16|[keon/algorithms](https://github.com/keon/algorithms)|Minimal examples of data structures and algorithms in Python|20177|11|2021-12-19|
|17|[TechXueXi/TechXueXi](https://github.com/TechXueXi/TechXueXi)|强国通 科技强国 学习强国 xuexiqiangguo 全网最好用开源网页学习强国助手：TechXueXi （懒人刷分工具 自动学习）技术强国，支持答题，支持 docker 45分/天|1965|11|2021-12-21|
|18|[d2l-ai/d2l-en](https://github.com/d2l-ai/d2l-en)|Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.|12039|10|2022-01-03|
|19|[leisurelicht/wtfpython-cn](https://github.com/leisurelicht/wtfpython-cn)|wtfpython的中文翻译/施工结束/ 能力有限，欢迎帮我改进翻译|12013|10|2021-07-08|
|20|[0xAX/linux-insides](https://github.com/0xAX/linux-insides)|A little bit about a linux kernel|24015|9|2021-12-25|
|21|[wistbean/learn_python3_spider](https://github.com/wistbean/learn_python3_spider)|python爬虫教程系列、从0到1学习python爬虫，包括浏览器抓包，手机APP抓包，如 fiddler、mitmproxy，各种爬虫涉及的模块的使用，如：requests、beautifulSoup、selenium、appium、scrapy等，以及IP代理，验证码识别，Mysql，MongoDB数据库的python使用，多线程多进程爬虫的使用，css 爬虫加密逆向破解，JS爬虫逆向，分布式 ...|8621|9|2021-12-11|
|20|[0xAX/linux-insides](https://github.com/0xAX/linux-insides)|A little bit about a linux kernel|24020|9|2021-12-25|
|21|[wistbean/learn_python3_spider](https://github.com/wistbean/learn_python3_spider)|python爬虫教程系列、从0到1学习python爬虫，包括浏览器抓包，手机APP抓包，如 fiddler、mitmproxy，各种爬虫涉及的模块的使用，如：requests、beautifulSoup、selenium、appium、scrapy等，以及IP代理，验证码识别，Mysql，MongoDB数据库的python使用，多线程多进程爬虫的使用，css 爬虫加密逆向破解，JS爬虫逆向，分布式 ...|8623|9|2021-12-11|
|22|[wangshub/wechat_jump_game](https://github.com/wangshub/wechat_jump_game)|微信《跳一跳》Python 辅助|13873|9|2021-10-12|
|23|[jackzhenguo/python-small-examples](https://github.com/jackzhenguo/python-small-examples)|告别枯燥，致力于打造 Python 实用小例子，更多Python良心教程见 Python中文网 http://www.zglg.work|6613|9|2021-12-31|
|24|[trekhleb/learn-python](https://github.com/trekhleb/learn-python)|📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.|11536|9|2021-11-07|
|25|[luong-komorebi/Awesome-Linux-Software](https://github.com/luong-komorebi/Awesome-Linux-Software)|A list of awesome applications, software, tools and other materials for Linux distros. |16984|9|2021-12-27|
|26|[MenghaoGuo/Awesome-Vision-Attentions](https://github.com/MenghaoGuo/Awesome-Vision-Attentions)|Summary of related papers on visual attention. Related code will be released based on Jittor gradually. |1088|9|2022-01-02|
|27|[drduh/macOS-Security-and-Privacy-Guide](https://github.com/drduh/macOS-Security-and-Privacy-Guide)|Guide to securing and improving privacy on macOS|18734|8|2021-12-03|
|28|[shimohq/chinese-programmer-wrong-pronunciation](https://github.com/shimohq/chinese-programmer-wrong-pronunciation)|中国程序员容易发音错误的单词|14806|8|2021-12-11|
|29|[conanhujinming/comments-for-awesome-courses](https://github.com/conanhujinming/comments-for-awesome-courses)|名校公开课程评价网|1489|8|2021-12-18|
|30|[Vonng/ddia](https://github.com/Vonng/ddia)|《Designing Data-Intensive Application》DDIA中文翻译|11363|8|2022-01-01|
|31|[Jack-Cherish/PythonPark](https://github.com/Jack-Cherish/PythonPark)|Python 开源项目之「自学编程之路」，保姆级教程：AI实验室、宝藏视频、数据结构、学习指南、机器学习实战、深度学习实战、网络爬虫、大厂面经、程序人生、资源分享。|4537|7|2022-01-02|
|32|[open-mmlab/mmfewshot](https://github.com/open-mmlab/mmfewshot)|OpenMMLab FewShot Learning Toolbox and Benchmark|290|7|2021-12-30|
|33|[Dod-o/Statistical-Learning-Method_Code](https://github.com/Dod-o/Statistical-Learning-Method_Code)|手写实现李航《统计学习方法》书中全部算法|8545|7|2021-09-13|
|34|[hindupuravinash/the-gan-zoo](https://github.com/hindupuravinash/the-gan-zoo)|A list of all named GANs!|11535|7|2021-09-08|
|35|[charlax/professional-programming](https://github.com/charlax/professional-programming)|A collection of full-stack resources for programmers.|15980|7|2021-12-24|
|36|[microsoft/nlp-recipes](https://github.com/microsoft/nlp-recipes)|Natural Language Processing Best Practices & Examples|5789|6|2021-09-07|
|37|[public-api-lists/public-api-lists](https://github.com/public-api-lists/public-api-lists)|A collective list of free APIs for use in software and web development 🚀 (Clone of https://github.com/public-apis/public-apis)|4040|6|2021-11-30|
|38|[princeton-nlp/SimCSE](https://github.com/princeton-nlp/SimCSE)|EMNLP'2021: SimCSE: Simple Contrastive Learning of Sentence Embeddings|1602|6|2021-11-26|
|23|[trekhleb/learn-python](https://github.com/trekhleb/learn-python)|📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.|11539|9|2021-11-07|
|24|[luong-komorebi/Awesome-Linux-Software](https://github.com/luong-komorebi/Awesome-Linux-Software)|A list of awesome applications, software, tools and other materials for Linux distros. |16987|9|2021-12-27|
|25|[MenghaoGuo/Awesome-Vision-Attentions](https://github.com/MenghaoGuo/Awesome-Vision-Attentions)|Summary of related papers on visual attention. Related code will be released based on Jittor gradually. |1093|9|2022-01-03|
|26|[drduh/macOS-Security-and-Privacy-Guide](https://github.com/drduh/macOS-Security-and-Privacy-Guide)|Guide to securing and improving privacy on macOS|18737|8|2021-12-03|
|27|[shimohq/chinese-programmer-wrong-pronunciation](https://github.com/shimohq/chinese-programmer-wrong-pronunciation)|中国程序员容易发音错误的单词|14807|8|2021-12-11|
|28|[jackzhenguo/python-small-examples](https://github.com/jackzhenguo/python-small-examples)|告别枯燥，致力于打造 Python 实用小例子，更多Python良心教程见 Python中文网 http://www.zglg.work|6613|8|2021-12-31|
|29|[Vonng/ddia](https://github.com/Vonng/ddia)|《Designing Data-Intensive Application》DDIA中文翻译|11374|8|2022-01-03|
|30|[Jack-Cherish/PythonPark](https://github.com/Jack-Cherish/PythonPark)|Python 开源项目之「自学编程之路」，保姆级教程：AI实验室、宝藏视频、数据结构、学习指南、机器学习实战、深度学习实战、网络爬虫、大厂面经、程序人生、资源分享。|4563|7|2022-01-02|
|31|[open-mmlab/mmfewshot](https://github.com/open-mmlab/mmfewshot)|OpenMMLab FewShot Learning Toolbox and Benchmark|293|7|2021-12-30|
|32|[Dod-o/Statistical-Learning-Method_Code](https://github.com/Dod-o/Statistical-Learning-Method_Code)|手写实现李航《统计学习方法》书中全部算法|8546|7|2021-09-13|
|33|[hindupuravinash/the-gan-zoo](https://github.com/hindupuravinash/the-gan-zoo)|A list of all named GANs!|11539|7|2021-09-08|
|34|[conanhujinming/comments-for-awesome-courses](https://github.com/conanhujinming/comments-for-awesome-courses)|名校公开课程评价网|1492|7|2021-12-18|
|35|[charlax/professional-programming](https://github.com/charlax/professional-programming)|A collection of full-stack resources for programmers.|15984|7|2021-12-24|
|36|[microsoft/nlp-recipes](https://github.com/microsoft/nlp-recipes)|Natural Language Processing Best Practices & Examples|5791|6|2021-09-07|
|37|[public-api-lists/public-api-lists](https://github.com/public-api-lists/public-api-lists)|A collective list of free APIs for use in software and web development 🚀 (Clone of https://github.com/public-apis/public-apis)|4042|6|2021-11-30|
|38|[princeton-nlp/SimCSE](https://github.com/princeton-nlp/SimCSE)|EMNLP'2021: SimCSE: Simple Contrastive Learning of Sentence Embeddings|1606|6|2021-11-26|
|39|[huangsam/ultimate-python](https://github.com/huangsam/ultimate-python)|Ultimate Python study guide for newcomers and professionals alike. :snake: :snake: :snake:|3330|5|2021-12-29|
|40|[PantsuDango/Dango-Translator](https://github.com/PantsuDango/Dango-Translator)|团子翻译器 —— 个人兴趣制作的一款基于OCR技术的翻译器|3456|5|2021-12-22|
|40|[PantsuDango/Dango-Translator](https://github.com/PantsuDango/Dango-Translator)|团子翻译器 —— 个人兴趣制作的一款基于OCR技术的翻译器|3461|5|2021-12-22|
|41|[dallaslu/penzai-list](https://github.com/dallaslu/penzai-list)|List of content farm sites like g.penzai.com.|412|5|2021-12-28|
|42|[DA-southampton/NLP_ability](https://github.com/DA-southampton/NLP_ability)|总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力|3072|5|2021-12-18|
|42|[DA-southampton/NLP_ability](https://github.com/DA-southampton/NLP_ability)|总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力|3073|5|2021-12-18|
|43|[huangrt01/CS-Notes](https://github.com/huangrt01/CS-Notes)|我的自学笔记，终身更新，当前专注System基础、MLSys。|2935|5|2021-08-18|
|44|[jindongwang/transferlearning](https://github.com/jindongwang/transferlearning)|Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习|8567|5|2021-12-29|
|45|[Yorko/mlcourse.ai](https://github.com/Yorko/mlcourse.ai)|Open Machine Learning Course|7982|5|2021-12-30|
|44|[jindongwang/transferlearning](https://github.com/jindongwang/transferlearning)|Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习|8570|5|2022-01-03|
|45|[Yorko/mlcourse.ai](https://github.com/Yorko/mlcourse.ai)|Open Machine Learning Course|7984|5|2021-12-30|
|46|[ownthink/KnowledgeGraphData](https://github.com/ownthink/KnowledgeGraphData)|史上最大规模1.4亿中文知识图谱开源下载|3866|5|2021-06-02|
|47|[donnemartin/awesome-aws](https://github.com/donnemartin/awesome-aws)|A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.|9925|4|2021-12-22|
|48|[alibaba/AliceMind](https://github.com/alibaba/AliceMind)|ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab|955|4|2021-12-21|
|49|[shengxinjing/it-roadmap](https://github.com/shengxinjing/it-roadmap)|大圣的前端学习路线图|133|4|2021-12-13|
|50|[liuhuanyong/ChainKnowledgeGraph](https://github.com/liuhuanyong/ChainKnowledgeGraph)|ChainKnowledgeGraph, 产业链知识图谱包括A股上市公司、行业和产品共3类实体，包括上市公司所属行业关系、行业上级关系、产品上游原材料关系、产品下游产品关系、公司主营产品、产品小类共6大类。 上市公司4,654家，行业511个，产品95,559条、上游材料56,824条，上级行业480条，下游产品390条，产品小类52,937条，所属行业3,946条。 |280|4|2021-10-26|
|51|[shenweichen/DeepCTR](https://github.com/shenweichen/DeepCTR)|Easy-to-use,Modular and Extendible package of deep-learning based CTR models .|5727|4|2021-12-20|
|52|[iswbm/magic-python](https://github.com/iswbm/magic-python)|Python 黑魔法手册|2372|4|2021-12-12|
|53|[injetlee/Python](https://github.com/injetlee/Python)|Python脚本。模拟登录知乎， 爬虫，操作excel，微信公众号，远程开机|7375|4|2021-12-06|
|54|[google-research/albert](https://github.com/google-research/albert)|ALBERT: A Lite BERT for Self-supervised Learning of Language Representations|2848|4|2021-12-13|
|55|[yqchilde/JDMemberCloseAccount](https://github.com/yqchilde/JDMemberCloseAccount)|学习python操作selenium的一个🌰 ，也是一种京东全自动退会方案|1044|4|2021-12-14|
|56|[waditu/tushare](https://github.com/waditu/tushare)|TuShare is a utility for crawling historical data of China stocks|11313|4|2021-10-17|
|51|[shenweichen/DeepCTR](https://github.com/shenweichen/DeepCTR)|Easy-to-use,Modular and Extendible package of deep-learning based CTR models .|5729|4|2021-12-20|
|52|[iswbm/magic-python](https://github.com/iswbm/magic-python)|Python 黑魔法手册|2374|4|2021-12-12|
|53|[injetlee/Python](https://github.com/injetlee/Python)|Python脚本。模拟登录知乎， 爬虫，操作excel，微信公众号，远程开机|7377|4|2021-12-06|
|54|[google-research/albert](https://github.com/google-research/albert)|ALBERT: A Lite BERT for Self-supervised Learning of Language Representations|2849|4|2021-12-13|
|55|[yqchilde/JDMemberCloseAccount](https://github.com/yqchilde/JDMemberCloseAccount)|学习python操作selenium的一个🌰 ，也是一种京东全自动退会方案|1045|4|2021-12-14|
|56|[waditu/tushare](https://github.com/waditu/tushare)|TuShare is a utility for crawling historical data of China stocks|11317|4|2021-10-17|
|57|[CollegesChat/university-information](https://github.com/CollegesChat/university-information)|收集全国各高校招生时不会写明，却会实实在在影响大学生活质量的要求与细节|765|4|2021-08-25|
|58|[programthink/zhao](https://github.com/programthink/zhao)|【编程随想】整理的《太子党关系网络》，专门揭露赵国的权贵|8976|4|2021-08-01|
|59|[wilsonfreitas/awesome-quant](https://github.com/wilsonfreitas/awesome-quant)|A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)|8272|4|2022-01-02|
|60|[TingsongYu/PyTorch_Tutorial](https://github.com/TingsongYu/PyTorch_Tutorial)|《Pytorch模型训练实用教程》中配套代码|3518|3|2021-12-23|
|58|[programthink/zhao](https://github.com/programthink/zhao)|【编程随想】整理的《太子党关系网络》，专门揭露赵国的权贵|8983|4|2021-08-01|
|59|[wilsonfreitas/awesome-quant](https://github.com/wilsonfreitas/awesome-quant)|A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)|8275|4|2022-01-02|
|60|[TingsongYu/PyTorch_Tutorial](https://github.com/TingsongYu/PyTorch_Tutorial)|《Pytorch模型训练实用教程》中配套代码|3520|3|2021-12-23|
|61|[lucidrains/x-transformers](https://github.com/lucidrains/x-transformers)|A simple but complete full-attention transformer with a set of promising experimental features from various papers|1305|3|2021-12-13|
|62|[humphd/have-fun-with-machine-learning](https://github.com/humphd/have-fun-with-machine-learning)|An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks|4916|3|2021-12-19|
|63|[open-mmlab/mmselfsup](https://github.com/open-mmlab/mmselfsup)|OpenMMLab Self-Supervised Learning Toolbox and Benchmark|1728|3|2021-12-31|
|64|[iswbm/pycharm-guide](https://github.com/iswbm/pycharm-guide)|PyCharm 中文指南：安装 破解 效率 技巧|1573|3|2021-12-12|
|65|[justinzm/gopup](https://github.com/justinzm/gopup)|数据接口：百度、谷歌、头条、微博指数,宏观数据，利率数据，货币汇率，千里马、独角兽公司，新闻联播文字稿，影视票房数据，高校名单，疫情数据…|1692|3|2021-12-13|
|62|[humphd/have-fun-with-machine-learning](https://github.com/humphd/have-fun-with-machine-learning)|An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks|4915|3|2021-12-19|
|63|[open-mmlab/mmselfsup](https://github.com/open-mmlab/mmselfsup)|OpenMMLab Self-Supervised Learning Toolbox and Benchmark|1729|3|2022-01-03|
|64|[iswbm/pycharm-guide](https://github.com/iswbm/pycharm-guide)|PyCharm 中文指南：安装 破解 效率 技巧|1574|3|2021-12-12|
|65|[justinzm/gopup](https://github.com/justinzm/gopup)|数据接口：百度、谷歌、头条、微博指数,宏观数据，利率数据，货币汇率，千里马、独角兽公司，新闻联播文字稿，影视票房数据，高校名单，疫情数据…|1693|3|2021-12-13|
|66|[lauris/awesome-scala](https://github.com/lauris/awesome-scala)|A community driven list of useful Scala libraries, frameworks and software.|8241|3|2021-12-28|
|67|[chyroc/WechatSogou](https://github.com/chyroc/WechatSogou)|基于搜狗微信搜索的微信公众号爬虫接口|5230|3|2021-12-13|
|68|[THUDM/CogView](https://github.com/THUDM/CogView)|Text-to-Image generation. The repo for NeurIPS 2021 paper "CogView: Mastering Text-to-Image Generation via Transformers".|678|3|2021-10-01|
|69|[ct-Open-Source/tuya-convert](https://github.com/ct-Open-Source/tuya-convert)|A collection of scripts to flash Tuya IoT devices to alternative firmwares|3363|3|2021-12-10|
|70|[lcdevelop/ChatBotCourse](https://github.com/lcdevelop/ChatBotCourse)|自己动手做聊天机器人教程|5261|3|2021-09-06|
|69|[ct-Open-Source/tuya-convert](https://github.com/ct-Open-Source/tuya-convert)|A collection of scripts to flash Tuya IoT devices to alternative firmwares|3364|3|2021-12-10|
|70|[lcdevelop/ChatBotCourse](https://github.com/lcdevelop/ChatBotCourse)|自己动手做聊天机器人教程|5262|3|2021-09-06|
|71|[DropsDevopsOrg/ECommerceCrawlers](https://github.com/DropsDevopsOrg/ECommerceCrawlers)|实战🐍多种网站、电商数据爬虫🕷。包含🕸：淘宝商品、微信公众号、大众点评、企查查、招聘网站、闲鱼、阿里任务、博客园、微博、百度贴吧、豆瓣电影、包图网、全景网、豆瓣音乐、某省药监局、搜狐新闻、机器学习文本采集、fofa资产采集、汽车之家、国家统计局、百度关键词收录数、蜘蛛泛目录、今日头条、豆瓣影评、携程、小米应用商店、安居客、途家民宿❤️❤️❤️。微信爬虫展示项目:|3096|3|2021-12-13|
|72|[liuhuanyong/QASystemOnMedicalKG](https://github.com/liuhuanyong/QASystemOnMedicalKG)| A tutorial and implement of disease centered Medical knowledge graph and qa system based on it。知识图谱构建，自动问答，基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱，并以该知识图谱完成自动问答与分析服务。|3610|3|2021-10-14|
|73|[LiyuanLucasLiu/RAdam](https://github.com/LiyuanLucasLiu/RAdam)|On the Variance of the Adaptive Learning Rate and Beyond|2445|3|2021-07-31|
|72|[liuhuanyong/QASystemOnMedicalKG](https://github.com/liuhuanyong/QASystemOnMedicalKG)| A tutorial and implement of disease centered Medical knowledge graph and qa system based on it。知识图谱构建，自动问答，基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱，并以该知识图谱完成自动问答与分析服务。|3611|3|2021-10-14|
|73|[LiyuanLucasLiu/RAdam](https://github.com/LiyuanLucasLiu/RAdam)|On the Variance of the Adaptive Learning Rate and Beyond|2444|3|2021-07-31|
|74|[G-Security-Team/GSLibrary](https://github.com/G-Security-Team/GSLibrary)|轻量级知识库&POC管理平台|410|3|2021-10-11|
|75|[PegasusWang/python_data_structures_and_algorithms](https://github.com/PegasusWang/python_data_structures_and_algorithms)|Python 中文数据结构和算法教程|2203|2|2021-12-19|
|76|[lining0806/PythonSpiderNotes](https://github.com/lining0806/PythonSpiderNotes)|Python入门网络爬虫之精华版|5644|2|2021-06-21|
|77|[coursera-dl/coursera-dl](https://github.com/coursera-dl/coursera-dl)|Script for downloading Coursera.org videos and naming them.|8609|2|2021-11-17|
|77|[coursera-dl/coursera-dl](https://github.com/coursera-dl/coursera-dl)|Script for downloading Coursera.org videos and naming them.|8610|2|2021-11-17|
|78|[ines/spacy-course](https://github.com/ines/spacy-course)|👩‍🏫 Advanced NLP with spaCy: A free online course|1922|2|2021-12-30|
|79|[alanbobs999/TopFreeProxies](https://github.com/alanbobs999/TopFreeProxies)|高质量免费节点收集，及订阅链接分享。|300|2|2022-01-02|
|80|[ownthink/Jiagu](https://github.com/ownthink/Jiagu)|Jiagu深度学习自然语言处理工具 知识图谱关系抽取 中文分词 词性标注 命名实体识别 情感分析 新词发现 关键词 文本摘要 文本聚类|2391|2|2021-06-02|
|79|[alanbobs999/TopFreeProxies](https://github.com/alanbobs999/TopFreeProxies)|高质量免费节点收集，及订阅链接分享。|305|2|2022-01-03|
|80|[ownthink/Jiagu](https://github.com/ownthink/Jiagu)|Jiagu深度学习自然语言处理工具 知识图谱关系抽取 中文分词 词性标注 命名实体识别 情感分析 新词发现 关键词 文本摘要 文本聚类|2392|2|2021-06-02|
|81|[EdjeElectronics/TensorFlow-Object-Detection-API-Tutorial-Train-Multiple-Objects-Windows-10](https://github.com/EdjeElectronics/TensorFlow-Object-Detection-API-Tutorial-Train-Multiple-Objects-Windows-10)|How to train a TensorFlow Object Detection Classifier for multiple object detection on Windows|2749|2|2021-10-21|
|82|[liangliangyy/DjangoBlog](https://github.com/liangliangyy/DjangoBlog)|🍺基于Django的博客系统|4280|2|2021-12-20|
|83|[datawhalechina/fun-rec](https://github.com/datawhalechina/fun-rec)|本推荐算法教程主要是针对具有机器学习基础并想找推荐算法岗位的同学，教程由推荐算法基础、推荐算法入门赛、新闻推荐项目及推荐算法面经组成，形成了一个完整的从基础到实战再到面试的闭环。|961|2|2021-12-28|
|84|[Miraclelucy/dive_into_deep_learning](https://github.com/Miraclelucy/dive_into_deep_learning)|✔️李沐 【动手学深度学习】课程学习笔记：使用pycharm编程，基于pytorch框架实现。|468|2|2021-08-09|
|82|[liangliangyy/DjangoBlog](https://github.com/liangliangyy/DjangoBlog)|🍺基于Django的博客系统|4281|2|2021-12-20|
|83|[datawhalechina/fun-rec](https://github.com/datawhalechina/fun-rec)|本推荐算法教程主要是针对具有机器学习基础并想找推荐算法岗位的同学，教程由推荐算法基础、推荐算法入门赛、新闻推荐项目及推荐算法面经组成，形成了一个完整的从基础到实战再到面试的闭环。|963|2|2021-12-28|
|84|[Miraclelucy/dive_into_deep_learning](https://github.com/Miraclelucy/dive_into_deep_learning)|✔️李沐 【动手学深度学习】课程学习笔记：使用pycharm编程，基于pytorch框架实现。|471|2|2021-08-09|
|85|[deepset-ai/FARM](https://github.com/deepset-ai/FARM)|:house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.|1446|2|2021-11-23|
|86|[phodal/awesome-iot](https://github.com/phodal/awesome-iot)|Awesome IoT. A collaborative list of great resources about IoT Framework, Library, OS, Platform|3480|2|2021-10-25|
|86|[phodal/awesome-iot](https://github.com/phodal/awesome-iot)|Awesome IoT. A collaborative list of great resources about IoT Framework, Library, OS, Platform|3480|2|2022-01-03|
|87|[NLP-LOVE/Introduction-NLP](https://github.com/NLP-LOVE/Introduction-NLP)|HanLP作者的新书《自然语言处理入门》详细笔记！业界良心之作，书中不是枯燥无味的公式罗列，而是用白话阐述的通俗易懂的算法模型。从基本概念出发，逐步介绍中文分词、词性标注、命名实体识别、信息抽取、文本聚类、文本分类、句法分析这几个热门问题的算法原理与工程实现。|1480|2|2021-12-23|
|88|[youyuge34/PI-REC](https://github.com/youyuge34/PI-REC)|:fire: PI-REC: Progressive Image Reconstruction Network With Edge and Color Domain. :fire: 图像翻译，条件GAN，AI绘画|1625|2|2021-10-12|
|89|[firmai/financial-machine-learning](https://github.com/firmai/financial-machine-learning)|A curated list of practical financial machine learning tools and applications.|2200|2|2022-01-02|
|90|[thuml/Transfer-Learning-Library](https://github.com/thuml/Transfer-Learning-Library)|Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization|1229|2|2021-12-22|
|91|[BrikerMan/Kashgari](https://github.com/BrikerMan/Kashgari)|Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.|2241|2|2021-07-09|
|89|[firmai/financial-machine-learning](https://github.com/firmai/financial-machine-learning)|A curated list of practical financial machine learning tools and applications.|2202|2|2022-01-03|
|90|[thuml/Transfer-Learning-Library](https://github.com/thuml/Transfer-Learning-Library)|Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization|1233|2|2021-12-22|
|91|[BrikerMan/Kashgari](https://github.com/BrikerMan/Kashgari)|Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.|2240|2|2021-07-09|
|92|[graph4ai/graph4nlp](https://github.com/graph4ai/graph4nlp)|Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources! |1145|2|2021-12-22|
|93|[PyJun/Mooc_Downloader](https://github.com/PyJun/Mooc_Downloader)|学无止下载器，慕课下载器，Mooc下载，慕课网下载，中国大学下载，爱课程下载，网易云课堂下载，学堂在线下载，超星学习通下载；支持视频，课件同时下载|2325|2|2021-12-12|
|94|[PyQt5/PyQt](https://github.com/PyQt5/PyQt)|PyQt Examples（PyQt各种测试和例子） PyQt4 PyQt5|3823|2|2021-12-15|
|95|[Mr-xn/BurpSuite-collections](https://github.com/Mr-xn/BurpSuite-collections)|有关burpsuite的插件(非商店),文章以及使用技巧的收集(此项目不再提供burpsuite破解文件,如需要请在博客mrxn.net下载)---Collection of burpsuite plugins (non-stores), articles and tips for using Burpsuite, no crack version file|1603|2|2021-12-27|
|96|[layumi/Person_reID_baseline_pytorch](https://github.com/layumi/Person_reID_baseline_pytorch)|Pytorch ReID: A tiny, friendly, strong pytorch implement of object re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial|2982|2|2022-01-01|
|93|[PyJun/Mooc_Downloader](https://github.com/PyJun/Mooc_Downloader)|学无止下载器，慕课下载器，Mooc下载，慕课网下载，中国大学下载，爱课程下载，网易云课堂下载，学堂在线下载，超星学习通下载；支持视频，课件同时下载|2326|2|2021-12-12|
|94|[PyQt5/PyQt](https://github.com/PyQt5/PyQt)|PyQt Examples（PyQt各种测试和例子） PyQt4 PyQt5|3825|2|2021-12-15|
|95|[Mr-xn/BurpSuite-collections](https://github.com/Mr-xn/BurpSuite-collections)|有关burpsuite的插件(非商店),文章以及使用技巧的收集(此项目不再提供burpsuite破解文件,如需要请在博客mrxn.net下载)---Collection of burpsuite plugins (non-stores), articles and tips for using Burpsuite, no crack version file|1604|2|2021-12-27|
|96|[layumi/Person_reID_baseline_pytorch](https://github.com/layumi/Person_reID_baseline_pytorch)|Pytorch ReID: A tiny, friendly, strong pytorch implement of object re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial|2983|2|2022-01-01|
|97|[SleepyBag/Statistical-Learning-Methods](https://github.com/SleepyBag/Statistical-Learning-Methods)|Implement Statistical Learning Methods, Li Hang the hard way. 李航《统计学习方法》一书的硬核 Python 实现|891|2|2021-11-14|
|98|[PeterH0323/Smart_Construction](https://github.com/PeterH0323/Smart_Construction)|Head Person Helmet Detection on Construction Sites，基于目标检测工地安全帽和禁入危险区域识别系统，🚀😆附 YOLOv5 训练自己的数据集超详细教程🚀😆2021.3新增可视化界面❗❗|1105|2|2021-09-28|
|99|[km1994/NLP-Interview-Notes](https://github.com/km1994/NLP-Interview-Notes)|本项目是作者们根据个人面试和经验总结出的自然语言处理(NLP)面试准备的学习笔记与资料，该资料目前包含 自然语言处理各领域的 面试题积累。|608|2|2021-12-15|
|100|[HiLab-git/SSL4MIS](https://github.com/HiLab-git/SSL4MIS)|Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.|699|2|2021-12-28|
|98|[PeterH0323/Smart_Construction](https://github.com/PeterH0323/Smart_Construction)|Head Person Helmet Detection on Construction Sites，基于目标检测工地安全帽和禁入危险区域识别系统，🚀😆附 YOLOv5 训练自己的数据集超详细教程🚀😆2021.3新增可视化界面❗❗|1106|2|2021-09-28|
|99|[km1994/NLP-Interview-Notes](https://github.com/km1994/NLP-Interview-Notes)|本项目是作者们根据个人面试和经验总结出的自然语言处理(NLP)面试准备的学习笔记与资料，该资料目前包含 自然语言处理各领域的 面试题积累。|611|2|2021-12-15|
|100|[HiLab-git/SSL4MIS](https://github.com/HiLab-git/SSL4MIS)|Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.|700|2|2022-01-03|
<div align="center">
<p><sub>↓ -- 感谢读者 -- ↓</sub></p>